Oncology/Hematology

Colon Cancer

Latest AI and machine learning research in colon cancer for healthcare professionals.

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Showing 694-714 of 2,796 articles
CE-Net: Cascade attention and context-aware cross-level fusion network via edge learning guidance for polyp segmentation.

Colorectal polyps are one of the most direct causes of colorectal cancer. Polypectomy can effectivel...

Dec 2024 39653624
Early colorectal cancer detection: a serum analysis platform combining SERS and machine learning.

Colorectal cancer (CRC) is one of the deadliest malignancies globally, with high incidence and morta...

Dec 2024 39480481
Artificial Intelligence-Driven Patient Selection for Preoperative Portal Vein Embolization for Patients with Colorectal Cancer Liver Metastases.

PURPOSE: To develop a machine learning algorithm to improve hepatic resection selection for patients...

Dec 2024 39638087
Deep learning-assisted colonoscopy images for prediction of mismatch repair deficiency in colorectal cancer.

BACKGROUND: Deficient mismatch repair or microsatellite instability is a major predictive biomarker ...

Dec 2024 39623175
State-of-the-art performance of deep learning methods for pre-operative radiologic staging of colorectal cancer lymph node metastasis: a scoping review.

OBJECTIVES: To assess the current state-of-the-art in deep learning methods applied to pre-operative...

Dec 2024 39622569
Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images.

Colorectal cancer (CRC) ranks as the third most prevalent tumor and the second leading cause of mort...

Dec 2024 39622880
SSL-CPCD: Self-Supervised Learning With Composite Pretext-Class Discrimination for Improved Generalisability in Endoscopic Image Analysis.

Data-driven methods have shown tremendous progress in medical image analysis. In this context, deep ...

Dec 2024 38857149
Surgical Insight-guided Deep Learning for Colorectal Lesion Management.

BACKGROUND: Colonoscopy stands as a pivotal diagnostic tool in identifying gastrointestinal diseases...

Dec 2024 39632423
Development and Validation of Machine Learning Model Platelet Index-based Predictor for Colorectal Cancer Stage.

INTRODUCTION: Colorectal cancer (CRC) staging is essential for effective treatment planning and prog...

Dec 2024 39733436
Computed tomography-based fully automated artificial intelligence model to predict extrapancreatic perineural invasion in pancreatic ductal adenocarcinoma.

BACKGROUND: Extrapancreatic perineural invasion (EPNI) increases the risk of postoperative recurrenc...

Dec 2024 39806736
"Artificial histology" in colonic Neoplasia: A critical approach.

BACKGROUND: The histological assessment of colorectal precancer and cancer lesions is challenging an...

Nov 2024 39616091
Integrated multi-omics and machine learning reveal a gefitinib resistance signature for prognosis and treatment response in lung adenocarcinoma.

Gefitinib resistance (GR) presents a significant challenge in treating lung adenocarcinoma (LUAD), h...

Nov 2024 39612355
Cost-Effectiveness for Artificial Intelligence in Colonoscopy.

Artificial intelligence (AI) is set to transform the field of colonoscopy through the implementation...

Nov 2024 40021236
Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.

BACKGROUND: Lung adenocarcinoma (LUAD) is a heterogeneous tumor characterized by diverse genetic and...

Nov 2024 39669580
GFPrintâ„¢: A machine learning tool for transforming genetic data into clinical insights.

The increasing availability of massive genetic sequencing data in the clinical setting has triggered...

Nov 2024 39602407
Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer.

The broad use of artificial intelligence (AI) and its various applications have already shown signif...

Nov 2024 40021235
A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study.

PURPOSE: To develop and validate deep learning (DL) models using preoperative contrast-enhanced CT i...

Nov 2024 39586941
CLMS: Bridging domain gaps in medical imaging segmentation with source-free continual learning for robust knowledge transfer and adaptation.

Deep learning shows promise for medical image segmentation but suffers performance declines when app...

Nov 2024 39616943
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